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<Paper uid="W06-0403">
  <Title>Numbat: Abolishing Privileges when Licensing New Constituents in Constraint-oriented Parsing</Title>
  <Section position="7" start_page="22" end_page="22" type="concl">
    <SectionTitle>
4 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper we have presented the constraint-oriented parsing strategy based on Property Grammars, that we have developed as part of the Numbat platform. We have also demonstrated that, unlike other existing parsers for PG, this strategy does not privilege any particular type of property when licensing a new constituent. By doing so, this parser contributes to maintain a close connection with the underpinning theory. In the context of robust parsing, where decisions must be made on the basis of a balance between satisfied and violated properties, it also allows the decision process to be better informed by providing it with more grounding linguistic material concerning the input.</Paragraph>
    <Paragraph position="1"> For the same reason, this contribution is also fairly valuable in the context of our prime research goal, which is concerned with quantifying acceptability. null In further works we plan to evaluate the performance of the parser. We also plan to use Numbat to run series of experiments on gradience, in order to design and test a suitable valuation function to be used to assess the degree of acceptability of an input utterance.</Paragraph>
  </Section>
class="xml-element"></Paper>